Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

Publication Date:
2018-06-28
Publisher:
Royal Society
Electronic ISSN:
2054-5703
Topics:
Natural Sciences in General
Keywords:
molecular biology, genomics, plant science
Published by:
_version_ 1836398988983533568
autor Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
beschreibung Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
citation_standardnr 6294114
datenlieferant ipn_articles
feed_id 220702
feed_publisher Royal Society
feed_publisher_url http://royalsocietypublishing.org/
insertion_date 2018-06-28
journaleissn 2054-5703
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Royal Society
quelle Royal Society Open Science
relation http://rsos.royalsocietypublishing.org/cgi/content/short/5/6/172253?rss=1
schlagwort molecular biology, genomics, plant science
search_space articles
shingle_author_1 Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
shingle_author_2 Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
shingle_author_3 Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
shingle_author_4 Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
shingle_catch_all_1 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
molecular biology, genomics, plant science
Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
Royal Society
2054-5703
20545703
shingle_catch_all_2 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
molecular biology, genomics, plant science
Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
Royal Society
2054-5703
20545703
shingle_catch_all_3 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
molecular biology, genomics, plant science
Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
Royal Society
2054-5703
20545703
shingle_catch_all_4 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
molecular biology, genomics, plant science
Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
Zhu, X., Li, X., Jiu, S., Zhang, K., Wang, C., Fang, J.
Royal Society
2054-5703
20545703
shingle_title_1 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
shingle_title_2 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
shingle_title_3 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
shingle_title_4 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
timestamp 2025-06-30T23:35:50.014Z
titel Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
titel_suche Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
topic TA-TD
uid ipn_articles_6294114